Description

You will build and manage data platform solutions within Salesforce Data Cloud.

Responsibilities

• Implement and configure Salesforce Data Cloud features, Data Spaces, permissions, and Data Streams for Customer 360 data models.
• Build and manage end‑to‑end integrations between Azure Databricks and Salesforce Data Cloud, including zero‑copy federation and activation pipelines.
• Develop custom automation, logic, and integrations using Apex and process automation using Lightning Flow.
• Create scalable, reusable user interface components using Lightning Web Components (LWC) and JavaScript.
• Configure and optimize Identity Resolution, data ingestion workflows, and deployment of Data Lake Objects.
• Collaborate with data engineering and CRM teams to ensure accurate data mapping and end‑to‑end delivery.

Required Skills

• 6–8 years of experience in data integration, data platform engineering, or enterprise CRM data architecture.
• At least one full‑cycle enterprise Salesforce Data Cloud (Data 360) implementation with hands-on configuration and delivery.
• Proven experience integrating Azure Databricks and Salesforce Data Cloud, covering data streams, zero‑copy federation, and identity resolution.
• Proficiency in Apex and Lightning Flow for custom automation.
• Experience developing LWC and JavaScript components.
• Familiarity with Salesforce Data Cloud architecture.
• Experience with data ingestion workflows and Data Lake Objects.

Preferred Skills

Key Skills

Education

Any Graduate